Tago was the 2nd system I tried. The first system was very weak on testing/rigo around having a working platform. Tago seems pretty solid in terms of uptime and availability. Very good. I love the idea of Tago's openness and the fact that you can integrate anything that can chirp out a JSON is pretty incredible... then provide a united display, linked by time has unlimited possibilities. I love the fact that they have pre-loaded many decoders on the LoraWAN side of things (can't speak to the rest). Right now my primary focus is IOT for agriculture in central Texas. Primarily water management for grazing operations - which shows LoraWANs best attributes off quite well. I do like the fact that they have IOS/Android apps as all customers want this. I like their tiered pricing and while I'm still very much in startup phase, I've been able to win a couple of customers while still refining my business and pay as I go which has been huge. The fact that they don't tie me into specific LoraWAN networks is great too as I run my own servers. Excellent platform. Their documenation is immense and as part of that they have added AI which has sped up use of the service quite a bit. Review collected by and hosted on G2.com.

I'd like to see Tago go back and make their documentation more indepth and current as the docs aren't keeping up w the developments. As well, their AI depends on their docs so you get a less than good circular loop. However, I think they could use AI to improve the docs and if users could disagree w the AI answer and suggest improvements it could self repair. Related to this, if users could put user comments on current docs which are to superficial that would be great. I'd like to see a real consolidation of docs as there are too many sources and they aren't always clear which one is the best. I also think as part of the onboarding, an overall visual map of how things fit together and the places integrators could customize would be helpful. Some of the options seem to conflict with other options and if that could be better highlighted so programmers/integrators don't have to self-discover would be great. It seems some of the widgets could be more custom fit to the applications - for example, there isn't a battery widget ready made with coloring and transmogrification options from voltage ranges to pre-colored items. There are some alerts that should be prepackaged or bound with devices and device data a little tighter for convenience. The alert triggers themselves I think would be super useful with a little more logic on the front end - for example if this signal goes HIGH and this signal is HIGH would be great. Also, if alerts had the ability to always do a quick query on the last value you could observe state changes and that would be really helpful. This is a good tool though and the team continues to work hard, so I tried to provide this list to be helpful and not just a negative criticism, which it is not. Review collected by and hosted on G2.com.

What I like most about TagoIO is how quickly we can develop and deploy scalable IoT solutions. The platform makes it very fast to design a structured architecture and push new features to production without heavy overhead. It provides a lot of flexibility, allowing us to build exactly what we need while keeping projects well organized and maintainable.

Another standout aspect is the support from the TagoIO team. They are very responsive, professional, and genuinely helpful when questions or challenges arise. Having that level of support makes a big difference when working on production IoT systems. Review collected by and hosted on G2.com.

One challenge is that occasional changes to the API or SDK can sometimes affect parts of our existing integrations or development around the platform. While updates are understandable as the platform evolves, they can require some adjustments on our side.

Additionally, there are moments where certain details are missing or not fully clear in the documentation, which can slow down development slightly until we clarify the behavior or implementation with the team. Review collected by and hosted on G2.com.

It’s a great platform for taking IoT projects from concept to production in the shortest amount of time. It saves a lot of time for anyone looking to get a project production-ready, while still offering plenty of flexibility—without getting stuck in a deep software-writing rabbit hole. The Tagoio platform is easy to use for novices, yet still has a fair amount of complexity available for more experienced users. Their support staff is very responsive, friendly, and extremely helpful in making your project a success. Review collected by and hosted on G2.com.

When scaling projects, the jump from the Starter plan to the Scale plan feels a bit steep. It would be helpful to have a “middle” tier. Alternatively, having the option to increase the device count on the Starter plan for an additional payment could add flexibility and effectively provide the equivalent of a middle tier. Review collected by and hosted on G2.com.

I’ve been using TagoIO for a while now, and the first thing that stands out is definitely the user-friendly interface. It is clean, well-organized, and makes the process of building professional dashboards feel incredibly intuitive. For anyone concerned about time-to-market, the learning curve is impressively fast; you don't need to be a veteran developer to get your first devices up and running. The platform also shines when it comes to integrations. Whether you are working with LoRaWAN, Sigfox, or other cloud services, the native connectors are robust and save a lot of setup time. It’s a great environment for those who want to focus more on data insights and less on infrastructure headaches. Review collected by and hosted on G2.com.

The free account does not support MQTT, so you’ll need a paid plan if that protocol is a requirement for your project. Also, while the platform is great overall, I found some gaps in the documentation for Python scripts, especially regarding external analysis, which might require a bit of extra troubleshooting to get everything synced perfectly. Review collected by and hosted on G2.com.

TAGO.IO solves the problem of turning raw IoT device data into reliable, usable, and actionable information without needing to build and maintain a custom backend from scratch.

For us, the biggest benefit is having a single, stable platform that handles device data ingestion, parsing, storage, visualization, alerts, and automation in one place. Instead of stitching together multiple systems, TAGO.IO lets us focus on the actual operation of devices and outcomes rather than infrastructure overhead. Review collected by and hosted on G2.com.

The platform significantly reduces complexity around:

Normalising inconsistent payloads from different devices

Managing state, location, and time‑series data correctly

Building dashboards and alerts that are production‑ready

Maintaining uptime and data reliability at scale Review collected by and hosted on G2.com.

TagoIO stands out for its ease of use, simple configuration, strong scalability, and ease of implementation. New devices can be implemented and deployed quickly, even when dealing with custom or non-standard hardware.

It allows seamless integration of devices that require capabilities beyond typical off-the-shelf solutions.

The support team is a key advantage to shorten the ramp-up. They consistently go above and beyond, even reviewing my code online with me helping to identify why specific functions are failing. This level of support gives me confidence that my product will be robust and reliable, and that I am not developing alone. It prevents long late-night debugging sessions and helps me quickly overcome technical challenges.

The learning curve is short to moderate, and once completed, reusing acquired knowledge is extremely easy and fast. I personally use TagoIO frequently, as adding new devices often takes only a few minutes. Review collected by and hosted on G2.com.

As an electrical engineer transitioning into embedded software engineering, I initially faced some difficulty understanding how modules, functions, and activities are interconnected. Despite the excellent work done to simplify IoT operations, certain aspects lacked clarity and transparency, as many processes happen “behind the scenes.”

I was able to resolve most of these challenges by frequently consulting the documentation and reaching out to the development team, but this slightly extended my learning curve.

Additionally, the debugging tools could be clearer and more comprehensive. For example, when designing protocol adapters, a variable inspector would be extremely useful to visualize variable contents and better understand data flow during execution. Review collected by and hosted on G2.com.

TagoIO is user friendly, It is easily understandable.

As I teacha bout IoT, I used TagoIo as an example of IoT platform and shared with all of them access so we were able to work togetheron the same project with different perspectives.

The AI powerd documentation is very helpful and time saving

The intergration of TagoIo with other servers were smoothly done Review collected by and hosted on G2.com.

Where where no MQTT integration the moment I worked with but now they have added it, I am already eager to test it.

I would like to see MIOTY integrations also with clear documentation Review collected by and hosted on G2.com.

Our smart metering solution has thrived thanks to a long-term partnership with TagoIO. The platform plays a critical role in accelerating our development and deployment cycles.

TagoIO offers a fast and intuitive way to build IoT dashboards and applications. Even with a lean team, we’re able to deliver large-scale solutions quickly and efficiently. The platform’s flexibility allows us to focus more on innovation and less on infrastructure. Review collected by and hosted on G2.com.

The QA process for custom application developments could be improved. Strengthening the testing team would further enhance reliability and reduce back-and-forth during project delivery. Review collected by and hosted on G2.com.

The flexibility and possibilities are great. With the free model, you can get a good overview of the different areas and experiment at your own pace. A later upgrade or switch to the Starter and then the Scale variant worked for me without any problems and was easy to implement with little effort. The helpfulness and support are also very good.

After a short familiarization period, you can navigate the interface and functions well and work productively quite quickly.

Thanks to the MCP connection, it is also possible for people with little prior knowledge to implement great solutions on the platform and find simpler ways to realize their own ideas.

Also worth highlighting positively are the cost transparency and the ability to manage resources flexibly across different profiles. Additional or reduced needs can be adjusted "on the fly."

I can recommend the platform and am positively convinced by the fair pricing compared to the market. Finally, I would also like to highlight the constant developments and improvements as well as the community.

The ability to use the EU instance in addition to the US instance is also particularly noteworthy. Review collected by and hosted on G2.com.

Have not had any negative experiences so far. Review collected by and hosted on G2.com.

Very easy low barrier to entry, but gives you the opportunity to host your own data and code execution so you can scale. Review collected by and hosted on G2.com.

Their dashboards are straightforward, but if you want to create more of an app experience it can be a bit tricky to work within their limitations. Review collected by and hosted on G2.com.